Physical Sciences and Mathematics Commons^™

Quantifying And Understanding The Role Of Bias In Astrophysical Data, Joshua A. Osborne

Physics Dissertations - Archive

Astrophysical studies are limited to the data provided. Data which is inherently prone to a range of biases such as: instrumental, selection, and methodological bias. Quantifying these biases and understanding their origin is critical to ensuring that the results we infer are representative of the physical world.

This is true even when attempting to study high-redshift phenomena, such as Gamma Ray Bursts (GRBs). Due to their immense brightness at high redshifts, GRBs serve as a strong candidate for standard candles in high redshift space. Their use as a standard candle, however, requires a precise understanding of observational biases that affect …

Inter-Hemispheric Asymmetry In The High-Latitude Electrodynamics And Their Impacts On The Magnetosphere-Ionosphere-Thermosphere System, Yu Hong

Physics Dissertations - Archive

In this dissertation, the inter-hemispheric asymmetries (IHAs) in the ionosphere–thermosphere (I-T) system and their impacts on the coupled magnetosphere-ionosphere–thermosphere (M-I-T) were examined using multi-instrument observations and advanced global numerical modeling frameworks. First, the drivers and consequences of IHAs in the I-T were systematically investigated and quantified, revealing that seasonal solar irradiance differences, geomagnetic field offsets, and asymmetric high-latitude electrodynamic forcing each produce significant asymmetries in electron density, neutral density, velocity, and Joule heating, with seasonal effects dominating under relative quiet conditions. During geomagnetic storms, IHAs were found to depend more strongly on asymmetric field-aligned currents (FACs) and particle precipitation (PP), …

Exploiting Artificial Intelligence And Optimization For Smart Agriculture, Jackson K. Butcher

Theses and Dissertations--Computer Science

Dynamic integration of Cyber-Physical Systems (CPS) and Artificial Intelligence (AI) has become a vital component for unlocking the potential of smart agriculture. Currently, limitations such as limited computational resources, poor network connectivity, and rigid treatment strategies stifle optimal agricultural outcomes. This creates a challenge of leveraging the capabilities of modern artificial intelligence to combat the natural and artificial constraints of the smart agriculture environment. The primary contribution of this thesis is the development of frameworks to alleviate the overhead data and computational demand for AI within smart agriculture settings. The first framework, iCrop+, utilizes TinyML and LoRa to guarantee high-precision …

Assessing The Dallas-Fort Worth Urban Microclimate And Surface Ozone Variability Under Differing Drought Conditions, Patrick Sumner

Earth & Environmental Sciences Theses - Archive

The Dallas-Fort Worth metroplex in North Central Texas is the 4^th largest and fastest growing region in the United States. In this study, the response of the urban microclimate and ozone levels to drought conditions will be assessed. The urban heat island (UHI), defined as the temperature difference between an urban and rural weather station, was filtered for low wind speeds (≤ 3 m s^-1). An in-depth analysis of the UHI at 1200 CST was done from 2008-2023 to identify trends. A significant correlation exists between the Palmer drought severity index and the UHI at 1200 CST, …

Self-Tor Persistence Of Modules Over Determinantal Rings, Tatheer F. Ajani

Mathematics Dissertations - Archive

Tor-persistence is the claim that Tor of a module with itself is only zero if the module has finite projective dimension. Work done by Avramov, Iyengar, Nasseh, Sather-Wagstaff, and various other authors have proved Tor-persistence of modules over certain rings. In this work, we will prove Tor-persistence for certain modules over determinantal rings, specifically for the hypersurface defined by the determinant of a generic matrix. We will then give an explicit proof that Tor^R_2(M,M) is never zero, that Tor^R_1(M,M)=0, and due to the periodicity of the given free resolution, our result can be extended to the entire complex, showing that …

Design And Implementation Of A Low-Cost Raspberry Pi And Ai-Based Intrusion Detection System For Surveillance, Metrine Nyaboke Osiemo

All Graduate Theses, Dissertations, and Other Capstone Projects

As security concerns continue to rise, there is a growing demand for affordable and intelligent surveillance solutions to ensure safety in homes, businesses, and other environments. Many individuals are embracing AI-driven technologies such as Closed-Circuit Television (CCTV), smart doorbells, and automated security systems to protect their properties. This project presents a design and implementation of a cost-effective AI-powered intrusion detection system utilizing Raspberry Pi 5 for home surveillance, with adaptability for broader applications. The system integrates a camera module and an LCD screen running on a Linux-based platform, with Python, and OpenCV as key software components. It employs dlib’s deep …

Teaching Object-Oriented Design Through Interactive Uml: A Dual-Approach Framework For Code-Based Generation And Direct Diagram Manipulation, Moses Kayuni

Masters Theses & Specialist Projects

This thesis introduces an interactive educational framework for teaching object-oriented design through UML class diagrams. The framework implements a dual-approach methodology: code-based generation, where students write Java code that automatically transforms into UML diagrams, and direct diagram manipulation, where students build diagrams by interacting with highlighted terms in problem descriptions. This approach addresses common challenges in teaching UML, including cognitive load difficulties, visualization problems, and the disconnect between code implementation and visual design. Built on the Mermaid diagramming framework, the system features a React frontend for diagram creation and manipulation, and a Flask backend that handles some code parsing and …

The Economic And Environmental Impact Of Shinkansen And High-Speed Rail Infrastructure: A Comparative Analysis Of Economic Growth And Carbon Emissions Reduction, Dillan R. Victory

SPARK Symposium Presentations

The development of Japan's high-speed rail system, the Shinkansen, has played a pivotal role in the country's post-war economic resurgence. Introduced in 1964 with the Tokaidō Shinkansen, this transformative infrastructure investment significantly reduced travel times, bolstered economic activity around station hubs, and facilitated regional development by enabling urban decentralization. This paper explores the long-term economic benefits of high-speed rail, including its impact on land value, business expansion, and carbon emissions. The case study of the Linear Chuo Shinkansen, Japan's latest maglev project, underscores both the economic promise and the political resistance to expansion, particularly in regions such as Shizuoka.

Using …

Estimating Per-Infection Cost And Burden For Dengue And Zika As A Function Of Antibody-Dependent Enhancement, Christopher M. Kribs

Mathematics Faculty Publications - Archive

The complex immune interactions produced by the tetravalent dengue vaccine Dengvaxia have foregrounded the important role of antibody-dependent enhancement (ADE) in dengue infection. Some evidence exists that ADE may extend beyond the four dengue serotypes to Zika, a closely related flavivirus transmitted by the same mosquito species as dengue, and may also account for the increased severity of some cases. Estimates of the public health impact of dengue vaccination may then need to include its effects on the transmission of Zika in addition to dengue. This study gathers primary references to build estimates of per-case economic cost and disease burden …

Assembly And Testing Of A Closed Cycle Cryostat, Chris Maguire

Science University Research Symposium (SURS)

Closed cycle cryocoolers are commonly used in laboratories as they provide long-term, low-cost, low-maintenance operation. This project covers the assembly and testing of an Advanced Research Systems DE-202 closed cycle cryostat to provide a low temperature apparatus for undergraduate research and advanced laboratory projects. This system is useful for many applications including optics, condensed matter physics, spectroscopy, electrical characterization, microscopy, superconductivity, crystallography, and biological studies.

Cryostat assembly involved research and planning to build a custom frame for the cryocooler, assemble vacuum, water, gas and electrical systems, leak test, and fit components to laboratory utilities. Once setup is complete, the actual …

Complexometric Titration Of Terbium(Iii) Compounds: An Analytical Blast From The Past Gives Purity Assurance When Modern Instruments Fail Us., Jake E. Timbes, Cameron Bateman, Justin Stace

Science University Research Symposium (SURS)

Lanthanide ions have attracted attention for applications in microwave electronics, memory devices, lighting applications, and chemical sensors. Terbium(III)-centered homoleptic complexes show promise as potential fluorescence-based chemical sensing agents. Tb(phen)2(NO3)3 (phen = 1,10-phenothroline) exhibits striking visible emission when excited by short-wave ultraviolet light; this emission is completely quenched by exposure to water or strong acid. However, the luminescence returns under relatively benign conditions. Unfortunately, our array of terbium(III) complexes are notoriously insoluble; rendering standard analytical techniques useless to assess purity, notably, 1H and 13C-NMR. Titration is a useful technique to give us, an assurance of purity—in conjunction with the ad-hoc purity …

Computational Modeling Of Post-Tavr Cardiovascular Dynamics Using Reduced-Order Models, Jo D. Jamullamudi, Anna D. Bui, Daniel Olopade, Kevin Gonzalez

Science University Research Symposium (SURS)

Patients with aortic valve stenosis often have calcified valve leaflets that impede blood flow. Transcatheter aortic valve replacement (TAVR) offers patients a minimally invasive option to replace their aortic valve by guiding a catheter through their blood vessels to deploy a bioprosthetic valve. We developed a 0-D model of the left heart to investigate TAVR performance in a patient-specific context. To achieve this, we constructed a lumped-parameter representation of cardiovascular dynamics, incorporating flows, pressures, resistances, and compliances of the heart chambers and valves. These physiological elements were represented through a system of differential equations, which we solved numerically using Backward …

Utilizing Β-Gal To Visualize Selective Transport Of The Ssa4 Gene In S.Cerevisiae, Ian M. Staertow, Rebecca L. Adams Phd

Science University Research Symposium (SURS)

In eukaryotic cells such as Saccharomyces cerevisiae, protein synthesis begins with the transport of mRNA from the nucleus to the cytoplasm. In order for mRNA to leave the nucleus, it must first bind to specific transport proteins which can then facilitate transport via the nuclear pore complex (NPC), a selectively permeable membrane within the cell's nuclear envelope. Under environmental stress, such as heat shock, S. cerevisiae cells modulate transport rates. In this case, in heat stress or “heat shock” most mRNA transcripts will remain in the nucleus. The SSA4 transcript encodes for a chaperone protein which facilitates the subsequent export …

Teaming With Technology: Adaptive Automation In Joint Cognitive Systems For Industry 5.0, Jessica Johnson

Virginia Digital Maritime Center (VDMC) Faculty Publications

Adaptive automation enables dynamic reallocation of functions between people and autonomous agents to improve performance in complex work. This paper presents a meta-analysis of experimental and quasi-experimental studies (2000-2025) on joint cognitive systems in industrially relevant contexts, quantifying effects on task performance, safety/failure management, workload, trust, and learning. Across studies, adaptive automation reliably reduces operator workload and shows moderate gains in task performance and safety, with healthier trust dynamics when adaptations are triggered by human-state or event cues, made transparent to the user, and remain rapidly overridable. Risks emerge when performance-triggered switching is opaque or poorly timed, which can erode …

Credit Card Fraud Detection Via Model Retraining And Fine-Tuning, Anamol Khadka

Computer Science and Engineering Student Research - Archive

Credit card fraud detection is a critical task in financial systems, especially given the rarity and evolving nature of the fraudulent behavior. The highly imbalanced class levels of the fraudulent and non-fraudulent transactions make it a challenging classification problem to solve. This study investigates the effectiveness of machine learning models: Logistic Regression, XGBoost, and Multi-Layer Perceptron (Neural Network), evaluated under temporal retraining and fine-tuning scenarios using a publicly available, highly imbalanced dataset of European credit card transactions. The dataset includes 284,807 transactions, of which only 492 (0.172%) are labeled as fraudulent, making it a well-known example of an imbalanced classification …

Comparative Evaluation Of Traditional Machine Learning And Deep Cnn Models For Static Hand Gesture Recognition, Anamol Khadka, Prit Desai

Computer Science and Engineering Student Research - Archive

Hand gesture recognition plays a vital role in facilitating natural and intuitive human-computer interaction, with applications ranging from sign language translation to touchless control systems. This study presents a comparative evaluation of traditional machine learning models and a deep convolutional neural network (CNN) for static hand gesture classification. The experimental dataset comprises 24,000 training images and 6,000 testing images, spanning 20 gesture classes. Traditional models, including k-Nearest Neighbors (KNN) and Support Vector Machines (SVM), utilize handcrafted features such as convex hull, convexity defects, and Hu moments. In contrast, the deep learning approach fine-tunes a ResNet18 architecture to learn features directly …

A Random Walk Simulation Of Positron Annihilation Depth As A Function Of Positron Beam Energy, Saniya Anjum Aqeel Ahmed Yadgeer

Physics Theses - Archive

Depth resolved defect and chemical characterization studies using positron annihilation spectroscopy depend on the ability to estimate the fraction of positrons annihilating at surface, in the bulk, at defects or as Positronium. The depth resolution is limited by the implantation profile of the energetic positrons and the diffusion of the thermalized positrons. Here we implement a random walk simulation as described in S. Eichler et al. [1] to track the monoenergetic positrons implanted into multilayer graphene on Cu. For our simulations the implantation depths were sampled from a Makhovian distribution that has been shown to accurately represent the implantation profile …

Impact Of Climate Change On North Central Texas, Diana K. T. Hansen

Earth & Environmental Sciences Dissertations - Archive

ABSTRACT

IMPACT OF CLIMATE CHANGE ON

NORTH CENTRAL TEXAS

Diana Kay Thomas Hansen, Ph.D.

The University of Texas at Arlington, 2025

Supervising Professor: Arne M.E. Winguth

The North Central Texas region is a rapidly expanding metropolitan area. One of the largest climate hazards that will affect human health in this region are extended heat waves and heavy precipitation. This study will examine how these hazards will change in response to climate change and the impact to human health due to weather extremes in a changing climate.

Coupled Model Intercomparison Project (Phase 6) simulations were used to evaluate future projected temperature …

Kinetic Analysis Of A Carbon-Rich Sico Model System, Takhya Holley

Chemistry & Biochemistry Theses - Archive

Kinetic Analysis of a Silicon Oxycarbide (polymethylhydrosiloxane/divinylbenzene) material was done for meaning of kinetic analysis methodology development. The material was synthesized using the standard procedure from, Blum 2005. A series of TGA’s was done using non-isothermal experiments. The analysis involved an initial isoconversional analysis using Friedman method, then decomposition of processes into individual processes using the Fraser-Suzuki function. The validation agreed within 1%, which is permissible by the ICTAC recommendations. The activation energies of the individual processes were determined using the Friedman method.The pre-dominant process #2 was found to have an activation energy of 220 +- 20 kj/mol and first-order …

Estimating Vapor Pressures Of Pheromone Compounds Using Gas Chromatographic Retention, Bipasha Sarker

Chemistry & Biochemistry Theses - Archive

Accurate determination of the vapor pressures of organic materials is important for predicting the sample’s environmental impact. It is difficult to directly measure accurate and precise vapor pressures of chemical compounds with direct experimental methods. Thus, indirect or predictive models for estimating vapor pressures are used. In this study, we follow a gas−liquid chromatography (GLC)-based approach, where retention data is correlated with vapor pressure using multiple reference standards. The method (GLC-RTyS) requires temperature-dependent retention factors (k-values) for test compounds and reference standards with known vapor pressures at matching temperatures. It has been observed that reference standards selected according to functional …

Smart Irrigation System Using Iot And Lstm For Optimal Water Management, Farley Y. Ruiz

Electrical Engineering Theses - Archive

This thesis presents the design and implementation of a smart irrigation system that combines Internet of Things hardware with a Long Short-Term Memory (LSTM) neural network for predictive soil moisture management. The goal is an affordable and reliable solution that uses real-time sensor data and environmental data to schedule irrigation before the substrate moisture drops below its target range. The system integrates soil moisture, temperature, humidity, and sensors on an Arduino Nano that communicates wirelessly with a Raspberry Pi. The Raspberry Pi runs a Python/Flask backend that collects and processes data, executes the LSTM model, and serves a secure web …

Understanding Misinformation On Social Media Through Truthfulness Stance, Zhengyuan Zhu

Computer Science and Engineering Dissertations - Archive

Misinformation on social media has become a pervasive issue that profoundly influences public opinion and decision-making. As false or misleading claims circulate widely online, there is a critical need for analytical tools to understand how people react to such claims. This dissertation introduces the concept of truthfulness stance as a key lens for social sensing. In essence, truthfulness stance assesses whether a textual utterance believes a factual claim to be true, false, or expresses a neutral stance or no stance toward the claim. Leveraging stance in this manner fills an important gap in misinformation research: it enables us to gauge …

Investigating Woody Vegetation Recruitment Post Riparian Enhancement Extraction Along The Baduwa't, Rize Martins De Oliveira, Wiley Hughes, Owen Lenox

Forestry, Fire, & Rangeland Management Senior Capstones

The Baduwa’t River in Humboldt County, California, faces a legacy of channelization, poor land management, and severe flooding that has left high, dry floodplain terraces disconnected from the river and dominated by invasive vegetation. In response to sediment deficits during drought years, Riparian Enhancement Extractions (REEs) were introduced as an alternative gravel mining method that simultaneously presented opportunities for habitat restoration. This study evaluates five REEs along the Baduwa’t to identify the construction features and site conditions that promote successful riparian vegetation establishment. Findings show that REEs can create seasonal wetlands conducive to native riparian habitat reestablishment, when excavation is …

Assessing Understory Along The Elk River (Hikshari') In Headwaters Forest Reserve, Humboldt County, California, Julie R. Meyers, Aliyah M. Ingram, Caleb N. Larkin, Joshua L. Carpenter

Environmental Science & Management Senior Capstones

Northern California’s extensive logging history and lack of forest management has altered old-growth coast redwood (Sequoia sempervirens) forests, leaving dense, homogenous second and third-growth forest stands. This has led to the use of modern restoration techniques such as variable density thinning (VDT) which aims to rehabilitate old-growth forest conditions by improving stand heterogeneity and light availability for understory species. Our study was done in Headwaters Forest Reserve (HFR) along the Elk River (Hikshari’) Trail in Humboldt County, California. Initially, the project was supervised by the Bureau of Land Management (BLM) Arcata Field Office. However, the 2025 U.S. government …

Restoration Plan For A Seasonal Wetland In Fortuna, Ca, Samuel Webb, Jack Mccann, Cody Swabash, Bryan Randolph

Environmental Science & Management Senior Capstones

This paper outlines the initial phase of planning for a seasonal wetland restoration on private property in Fortuna CA. It includes a site description, general background information, the methods we used to create our 30% plan, and a discussion of challenges and possible next steps of the project. Our plan consists of a revegetation plan that has the goals of the landowner and environment in mind, and includes our methods for planning revegetation in a seasonal wetland, our design, as well as suggestions for additional restoration design elements.

Ecological Assessment And Restoration Strategy For The Riparian Wetlands Of Woody Ryno Farms, Bee Krstich, Ethan Michael Gilmore, Kai Jeremy Hensley, Nicolas Augusto Yanez, Vanessa Luis

Environmental Science & Management Senior Capstones

Woody Ryno Farms is situated in McKinleyville, Humboldt County, California. The surrounding area is a mosaic of farmland, homes, and wetlands. This project aims to gather information about the health and species composition of the wetlands on Woody Ryno Farms. A step-point method was used to collect data on species composition along 16 m transects at 2 m intervals; all plants within a 1 m radius were identified and documented. Following data collection, we used Excel to analyze data based on several factors, including transect number, plants identified to the lowest taxonomic level, and native versus invasive taxa. Statistical analysis …

Restoring Riparian Health And Cultural Resources Along School Creek, A Baduwa’T Tributary, At Blue Lake Rancheria, Humboldt County, Ca, Karlie G. Hall, Fern W. Mcbride, Natalie R. Christenson, Olivia C. Brock, Emily A. King

Environmental Science & Management Senior Capstones

Riparian corridors are essential components of the landscape, supporting healthy streams and surrounding habitats by stabilizing banks, retaining water, and regulating stream temperatures. Indigenous peoples have stewarded these environments since time immemorial, cultivating deep relationships with the land and its culturally significant plants. Their continued ability to practice, transmit, and sustain this knowledge is vital not only for maintaining Traditional Ecological Knowledge (TEK) but also for fostering resilient and healthy ecosystems. The purpose of this project was to revegetate a riparian area of School Creek with culturally significant plants. School Creek is a tributary in the Baduwa’t watershed at Blue …

Becoming Reacquainted: Baseline Habitat Assessment Of Streams On Returned Tribal Lands Of Blue Lake Rancheria, California, Haley Davis, Sophia Enriquez, Cecilia Olnes, Grace Poitras

Environmental Science & Management Senior Capstones

This project presents baseline habitat data for three tributaries of the Baduwa’t (Mad River) – Powers Creek, School Creek, and Kelly Creek – located on or adjacent to reacquired Blue Lake Rancheria (BLR) lands. These small coastal streams hold ecological and cultural significance and have the potential to support salmonids and other aquatic species. Powers Creek and School Creek were dry during the survey period and were assessed using qualitative, waypoint-based observations of vegetation, substrate, instream cover, channel morphology, and potential fish passage barriers. Kelly Creek, a perennial tributary, was surveyed using the California Department of Fish and Wildlife’s (CDFW) …

Assessing Wood Jam Formation In The South Fork Elk River In Headwaters Forest Reserve, California (Year 2), Blaine Follrath, Nico Hutton, Diego Rodriguez, Torrey Stapp

Environmental Science & Management Senior Capstones

Large woody debris (LWD) contribute to the formation of complex habitat structures by stabilizing channels, creating refugia, and enhancing spawning conditions. A lack of LWD in the South Fork Elk River in Headwaters Forest Reserve has been identified by the BLM as a limiting factor in salmonid resurgence. Salmonids provide vital ecological functions to their watersheds; however, their populations face the pressure of habitat loss. This study expands upon last year’s assessment of wood jam formation on the South Fork Elk River and examines how log jam structures have changed over time since the BLM’s 2022 accelerated recruitment project. This …

Artificial Intelligence In Radiology, Olivia Sweeney

Theses, Dissertations and Capstones

Introduction: Artificial intelligence (AI) has increasingly transformed radiologic practice by improving diagnostic accuracy, streamlining workflows, and reducing interpretation errors. As AI integration has expanded across imaging modalities, questions have emerged regarding its effectiveness compared to traditional radiologist-only interpretation.

Purpose of Study: The purpose of this study has been to evaluate the impact of AI-assisted radiology on diagnostic accuracy, efficiency, and error reduction, while also assessing clinician perceptions of AI as a collaborative tool in imaging analysis.

Methodology: This qualitative study has used a systematic review of peer-reviewed literature published between 2015 and 2025, following PRISMA guidelines, combined with an interview …